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Fiverr Pro
English
$
USD
I will build a custom ai chatbot or rag app for your business
About this Gig
Need an AI chatbot that can actually understand and answer questions from your business data?
I build custom AI chatbots and RAG applications that connect your business knowledge to modern LLMs, helping users get accurate answers from documents, websites, FAQs, databases, and other trusted sources.
Typical use cases:
- Customer support
- Internal company knowledge
- Product documentation
- Technical documentation
- Business reports and documents
- E-commerce support
- Startup knowledge bases
What you receive:
- Custom AI/RAG solution
- Clean, maintainable Python code
- Testing and evaluation
- Documentation
- Deployment guidance
- Post-delivery support
What I can build:
- Custom RAG applications
- AI chatbots for websites and internal teams
- PDF/document question-answering systems
- Knowledge-base chatbots
- LLM-powered search and Q&A
- OpenAI/LLM API integrations
- Vector database integration
- Document processing and embeddings
- REST API/backend integration
- Python-based AI applications
Have a specific AI chatbot idea?
Send me your goal and the type of data you want the AI to work with. I'll review the requirements and recommend a suitable approach before you order.
Programming language:
Python
•
MATLAB
•
SQL
•
Colab
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
•
Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What do I need to provide before starting the order?
Ideally, you should provide a clear project goal, the relevant dataset (CSV, images, JSON, database access), and any target metrics or constraints. If you don't have a dataset yet, feel free to contact me to discuss data collection or synthetic data options
What programming languages and frameworks do you use?
Python is the primary language used, along with frameworks like PyTorch, TensorFlow, Scikit-Learn, OpenCV, Pandas, and NumPy depending on project requirements.
Will I receive the complete source code?
Yes! All source code (Jupyter Notebooks, .py scripts, requirement files, and configuration files) will be provided with full ownership and clear documentation.
Can you deploy the model into my existing application or server?
Yes! I can package the model inside a REST API (FastAPI/Flask) or Docker container, or assist with cloud deployment (AWS, GCP, Azure) as an add-on.
Do I need to provide a dataset?
Yes, or I can help you source/scrape one for an added fee. Model quality depends heavily on data quality — I'll assess your dataset before starting and flag any gaps.
What if I don't know which model/approach I need?
That's fine — most clients don't. Message me your goal and data, and I'll recommend the right approach (classical ML vs. deep learning vs. pretrained LLM/API) based on your budget and accuracy needs.
Can you integrate an existing LLM (like GPT or Claude) instead of training from scratch?
Yes. For many NLP tasks, fine-tuning or prompting an existing LLM is faster and cheaper than training a custom model — I'll tell you honestly which route saves you money.
